| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A comment on “Translation and scale invariants of Tchebichef moments” by Hongqing Zhu [Pattern Recognition 40 (2007) 2530–2542]
|
Wang, Xuan
|
|
2018
|
77 |
C |
p. 458-463
|
artikel
|
| 2 |
Active multi-kernel domain adaptation for hyperspectral image classification
|
Deng, Cheng
|
|
2018
|
77 |
C |
p. 306-315
|
artikel
|
| 3 |
A hybrid framework for automatic joint detection of human poses in depth frames
|
Kong, Longbo
|
|
2018
|
77 |
C |
p. 216-225
|
artikel
|
| 4 |
A large margin algorithm for automated segmentation of white matter hyperintensity
|
Qin, Chen
|
|
2018
|
77 |
C |
p. 150-159
|
artikel
|
| 5 |
All-in-focus with directional-max-gradient flow and labeled iterative depth propagation
|
Wang, Guijin
|
|
2018
|
77 |
C |
p. 173-187
|
artikel
|
| 6 |
An adaptive graph learning method based on dual data representations for clustering
|
Liu, Tianchi
|
|
2018
|
77 |
C |
p. 126-139
|
artikel
|
| 7 |
A new multiplicative watermark detector in the contourlet domain using t Location-Scale distribution
|
Etemad, Sadegh
|
|
2018
|
77 |
C |
p. 99-112
|
artikel
|
| 8 |
A new probabilistic classifier based on decomposable models with application to internet traffic
|
Ghofrani, Fatemeh
|
|
2018
|
77 |
C |
p. 1-11
|
artikel
|
| 9 |
A regularized ensemble framework of deep learning for cancer detection from multi-class, imbalanced training data
|
Yuan, Xiaohui
|
|
2018
|
77 |
C |
p. 160-172
|
artikel
|
| 10 |
A variational approach to non-rigid image registration with Bregman divergences and multiple features
|
Ferreira, Daniela Portes Leal
|
|
2018
|
77 |
C |
p. 237-247
|
artikel
|
| 11 |
Classification by pairwise coupling of imprecise probabilities
|
Quost, Benjamin
|
|
2018
|
77 |
C |
p. 412-425
|
artikel
|
| 12 |
Classification of the emotional stress and physical stress using signal magnification and canonical correlation analysis
|
Hong, Kan
|
|
2018
|
77 |
C |
p. 140-149
|
artikel
|
| 13 |
Comment on “Enhanced soft subspace clustering integrating within-cluster and between-cluster information” by Z. Deng et al. (Pattern Recognition, vol. 43, pp. 767–781, 2010)
|
Forghani, Yahya
|
|
2018
|
77 |
C |
p. 456-457
|
artikel
|
| 14 |
Comment on “Joint sparse principal component analysis” by S. Yi et al. (Pattern Recognition, vol. 61, pp. 524–536, 2017)
|
Forghani, Yahya
|
|
2018
|
77 |
C |
p. 454-455
|
artikel
|
| 15 |
Deep Fisher discriminant learning for mobile hand gesture recognition
|
Li, Ce
|
|
2018
|
77 |
C |
p. 276-288
|
artikel
|
| 16 |
Deep unsupervised learning with consistent inference of latent representations
|
Chang, Jianlong
|
|
2018
|
77 |
C |
p. 438-453
|
artikel
|
| 17 |
Discriminative binary feature learning and quantization in biometric key generation
|
Anees, Amir
|
|
2018
|
77 |
C |
p. 289-305
|
artikel
|
| 18 |
DropRegion training of inception font network for high-performance Chinese font recognition
|
Huang, Shuangping
|
|
2018
|
77 |
C |
p. 395-411
|
artikel
|
| 19 |
Editorial Board
|
|
|
2018
|
77 |
C |
p. ii
|
artikel
|
| 20 |
Environmental microorganism classification using conditional random fields and deep convolutional neural networks
|
Kosov, Sergey
|
|
2018
|
77 |
C |
p. 248-261
|
artikel
|
| 21 |
Erratum to ``JCLMM: A finite mixture model for clustering of circular-linear data and its application to psoriatic plaque segmentation'' [Pattern Recognition 66 (2017) 160-173]
|
Roy, Anandarup
|
|
2018
|
77 |
C |
p. 464
|
artikel
|
| 22 |
Error sensitivity analysis of Delta divergence - a novel measure for classifier incongruence detection
|
Kittler, Josef
|
|
2018
|
77 |
C |
p. 30-44
|
artikel
|
| 23 |
Feature co-shrinking for co-clustering
|
Tan, Qi
|
|
2018
|
77 |
C |
p. 12-19
|
artikel
|
| 24 |
Feature selection method with joint maximal information entropy between features and class
|
Zheng, Kangfeng
|
|
2018
|
77 |
C |
p. 20-29
|
artikel
|
| 25 |
From one to many: Pose-Aware Metric Learning for single-sample face recognition
|
Deng, Weihong
|
|
2018
|
77 |
C |
p. 426-437
|
artikel
|
| 26 |
Incremental feature extraction based on decision boundaries
|
Woo, Seongyoun
|
|
2018
|
77 |
C |
p. 65-74
|
artikel
|
| 27 |
Joint bilateral filtering and spectral similarity-based sparse representation: A generic framework for effective feature extraction and data classification in hyperspectral imaging
|
Qiao, Tong
|
|
2018
|
77 |
C |
p. 316-328
|
artikel
|
| 28 |
Manifold constraint transfer for visual structure-driven optimization
|
Zhang, Baochang
|
|
2018
|
77 |
C |
p. 87-98
|
artikel
|
| 29 |
Multiple instance learning: A survey of problem characteristics and applications
|
Carbonneau, Marc-André
|
|
2018
|
77 |
C |
p. 329-353
|
artikel
|
| 30 |
Multi-view multi-scale CNNs for lung nodule type classification from CT images
|
Liu, Xinglong
|
|
2018
|
77 |
C |
p. 262-275
|
artikel
|
| 31 |
Non-linear matrix completion
|
Fan, Jicong
|
|
2018
|
77 |
C |
p. 378-394
|
artikel
|
| 32 |
On convergence and parameter selection of the EM and DA-EM algorithms for Gaussian mixtures
|
Yu, Jian
|
|
2018
|
77 |
C |
p. 188-203
|
artikel
|
| 33 |
Patterning of writing style evolution by means of dynamic similarity
|
Amelin, Konstantin
|
|
2018
|
77 |
C |
p. 45-64
|
artikel
|
| 34 |
Recent advances in convolutional neural networks
|
Gu, Jiuxiang
|
|
2018
|
77 |
C |
p. 354-377
|
artikel
|
| 35 |
Robust infrared small target detection using local steering kernel reconstruction
|
Li, Yansheng
|
|
2018
|
77 |
C |
p. 113-125
|
artikel
|
| 36 |
Supervising topic models with Gaussian processes
|
Kandemir, Melih
|
|
2018
|
77 |
C |
p. 226-236
|
artikel
|
| 37 |
Tensor-based linear dynamical systems for action recognition from 3D skeletons
|
Ding, Wenwen
|
|
2018
|
77 |
C |
p. 75-86
|
artikel
|
| 38 |
Training neural network classifiers through Bayes risk minimization applying unidimensional Parzen windows
|
Lázaro, Marcelino
|
|
2018
|
77 |
C |
p. 204-215
|
artikel
|
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